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Dynamically-based seasonal forecasts of Atlantic tropical storm activity issued in June by EUROSIP

Vitart, F; Huddleston, MR; Deque, M; Peake, D; Palmer, TN; Stockdale, TN; Davey, MK; ... Weisheimer, A; + view all (2007) Dynamically-based seasonal forecasts of Atlantic tropical storm activity issued in June by EUROSIP. Geophysical Research Letters , 34 , Article L16815. 10.1029/2007GL030740. Green open access

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Abstract

Most seasonal forecasts of Atlantic tropical storm numbers are produced using statistical-empirical models. However, forecasts can also be made using numerical models which encode the laws of physics, here referred to as “dynamical models”. Based on 12 years of re-forecasts and 2 years of real-time forecasts, we show that the so-called EUROSIP (EUROpean Seasonal to Inter-annual Prediction) multi-model ensemble of coupled ocean atmosphere models has substantial skill in probabilistic prediction of the number of Atlantic tropical storms. The EUROSIP real-time forecasts correctly distinguished between the exceptional year of 2005 and the average hurricane year of 2006. These results have implications for the reliability of climate change predictions of tropical cyclone activity using similar dynamically-based coupled ocean-atmosphere models.

Type: Article
Title: Dynamically-based seasonal forecasts of Atlantic tropical storm activity issued in June by EUROSIP
Open access status: An open access version is available from UCL Discovery
DOI: 10.1029/2007GL030740
Publisher version: http://dx.doi.org/10.1029/2007GL030740
Language: English
Additional information: Published in 2007 by the American Geophysical Union
Keywords: Tropical storms, Seasonal prediction, Coupled climate models, Seasonal forecasts, Multi-model
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
URI: https://discovery.ucl.ac.uk/id/eprint/73983
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